Pedro Costa
Pedro Costa
Abyssal, INESC TEC Porto
Verified email at fe.up.pt
TitleCited byYear
End-to-end adversarial retinal image synthesis
P Costa, A Galdran, MI Meyer, M Niemeijer, M AbrÓmoff, AM Mendonša, ...
IEEE transactions on medical imaging 37 (3), 781-791, 2017
582017
Towards Adversarial Retinal Image Synthesis
P Costa, A Galdran, MI Meyer, MD AbrÓmoff, M Niemeijer, AM Mendonša, ...
arXiv preprint arXiv:1701.08974, 2017
332017
Pattern based gui testing for mobile applications
P Costa, ACR Paiva, M Nabuco
Quality of Information and Communications Technology (QUATIC), 2014 9thá…, 2014
302014
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis
A Galdran, A Alvarez-Gila, MI Meyer, CL Saratxaga, T Ara˙jo, E Garrote, ...
182017
Convolutional bag of words for diabetic retinopathy detection from eye fundus images
P Costa, A Campilho
IPSJ Transactions on Computer Vision and Applications 9 (1), 10, 2017
132017
A weakly-supervised framework for interpretable diabetic retinopathy detection on retinal images
P Costa, A Galdran, A Smailagic, A Campilho
IEEE Access 6, 18747-18758, 2018
82018
Adversarial Synthesis of Retinal Images from Vessel Trees
P Costa, A Galdran, MI Meyer, AM Mendonša, A Campilho
International Conference Image Analysis and Recognition, 516-523, 2017
52017
Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2
CA Ferreira, T Melo, P Sousa, MI Meyer, E Shakibapour, P Costa, ...
International Conference Image Analysis and Recognition, 763-770, 2018
42018
Predicting Drugs Adverse Side-Effects Using a Recommender-System
D Pinto, P Costa, R Camacho, VS Costa
Discovery Science, 201-208, 2015
42015
MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis
A Smailagic, P Costa, HY Noh, D Walawalkar, K Khandelwal, A Galdran, ...
2018 17th IEEE International Conference on Machine Learning and Applicationsá…, 2018
3*2018
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment
P Costa, A Campilho, B Hooi, A Smailagic, K Kitani, S Liu, C Faloutsos, ...
16th IEEE International Conference on Machine Learning and Applicationsá…, 2017
32017
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images
MI Meyer, P Costa, A Galdran, AM Mendonša, A Campilho
International Conference Image Analysis and Recognition, 507-515, 2017
32017
CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ...
Medical image analysis 52, 24-41, 2019
22019
Deep convolutional artery/vein classification of retinal vessels
MI Meyer, A Galdran, P Costa, AM Mendonša, A Campilho
International Conference Image Analysis and Recognition, 622-630, 2018
22018
EyeWes: weakly supervised pre-trained convolutional neural networks for diabetic retinopathy detection
P Costa, T Ara˙jo, G Aresta, A Galdran, AM Mendonša, A Smailagic, ...
2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019
12019
Self-Supervised Subsea SLAM for Autonomous Operations
F Marques, P Costa, F Castro, M Parente
Offshore Technology Conference, 2019
12019
UOLO-automatic object detection and segmentation in biomedical images
T Ara˙jo, G Aresta, A Galdran, P Costa, AM Mendonša, A Campilho
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinicalá…, 2018
12018
Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
A Smailagic, A Sharan, P Costa, A Galdran, A Gaudio, A Campilho
International Conference on Image Analysis and Recognition, 362-368, 2019
2019
Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning
Q Xiao, J Zou, M Yang, A Gaudio, K Kitani, A Smailagic, P Costa, M Xu
International Conference on Image Analysis and Recognition, 333-344, 2019
2019
Reducing Costs in Building a Dataset Using Deep and Active Learning
F Castro, P Costa, F Marques, M Parente
Offshore Technology Conference, 2019
2019
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